Adding Value to Agricultural Data: A Golden Opportunity

Agricultural decision makers rely on information provided by public and private entities. Data is a valuable asset and represents a tremendous investment of resources. However, difficulty locating sources and/or interpreting values may compromise its usefulness. The Florida citrus industry serves as an example of the data problem faced by many users; over 50 publications produced by 13 agencies are identified as official sources of citrus data. An indication of the potential for lost value and the dilemma facing modern agriculture is provided. This paper draws on corporate information management techniques as a framework for adding value to agricultural data.     

Self-Ratings and Expectations of the U.S. President, Ideal Physicians, and Ideal Automechanic

Relationships between self-ratings and expectations of an ideal U.S. president, were studied in 43 men drawn from a university setting in the eastern coast of the U.S.A. The men first rated themselves on personality variables, life choices (agentic and communal), peacefulness, spirituality, and morality. Then they were presented with a vignette requesting that they describe an ideal U.S. president on inventories measuring personality variables, life choices, peacefulness, spirituality, and morality. For the rating of the ideal U.S. president, they also were asked to respond to a 20 item questionnaire that was a composite of several factors on organization and leadership, morality, spirituality, and peacefulness. The respondents belonged to one of seven different political persuasions, similar in some ways to different cultures. Self-ratings of the men and expectations of the president were highly correlated for extraversion, openness, trait morality, agentic and communal life choices. However, no significant correlations were found between the self-ratings and expectations of the president for neuroticism, agreeableness, conscientiousness, peacefulness, nor state morality. The men were also presented with vignettes for the ideal physician and ideal automechanic and asked to rate each of them on the inventory items. Overall, the U.S. President was rated as more neurotic and immoral in terms of ingrained ideas of right and wrong, but also as more caring for others, transcendent, seeking goodness and truth, forgiving, cooperative, and most concerned with matters of justice and mercy, and more concerned with both agentic (power-seeking) and communal (community-minded) life choices than were either the ideal physician or ideal automechanic. The ideal physician was rated as highest in extra-version, openness, agreeableness, conscientiousness, and overall peacefulness, and lowest in neuroticism. The ideal automechanic was rated as highest in state or situational immorality, and lowest in both agentic (power-seeking, business-mindedness) and communal (community-mindedness) life choices, and also lowest in caring for others well-being, transcendence, seeking goodness and truth, forgiveness and cooperation, being concerned with justice and mercy, overall expectations, overall spirituality, and overall organization and leadership. In general, the self-ratings were significantly related to ratings/expectations, of the U.S. President, ideal physician, and ideal automechanic. The men seemed to identify more with the automechanic than with the present or physician.     

Entrepreneurial Intentions and Outcomes: a Comparative Causal Mapping Study

This paper uses a causal map methodology to consider the contrasts between entrepreneurial intentions and outcomes. In evaluating a series of propositions drawn from the extant literature the study finds that the elicited causal maps are consistent with contrasts in entrepreneurial intentions, but not outcomes. This suggests that the existing emphasis on entrepreneurial strategies being deliberate, conscious processes may be misplaced: non-deliberate, emergent strategies may be just as influential in producing entrepreneurial outcomes. The study develops a series of output propositions suggesting that entrepreneurial outcomes are associated with causal maps which connect the internal operations of the business with the external environment. This implies that entrepreneurial success may be a result of intuitive systems thinking in which connections are made between the environment and the internal operations of the business.     

Annuity Values in Defined Contribution Retirement Systems: Australia and Singapore Compared

Annuities promise to play an increasingly important role in countries with national defined contribution retirement systems. In this article we examine life annuities in two countries, Singapore and Australia, each of which has a national mandatory pension program. Exploiting data on annuity pricing and purchase behaviour, we compare the money's worth of life annuity products across these two nations. Our results indicate that, after controlling on administrative loadings, there are important differences in measured adverse selection. Part of the explanation may be due to the different structures of the two countries’retirement systems.     

Disclosure of information: stratification and collective bargaining

Research has continually emphasised the lack of interest of management and trade unions into greater disclosure of information in collective bargaining. In this article the author explains this failure in terms of the stratification of new and existing information along hierarchical lines which do not disturb existing property rights and maintain status structures.     

The Delphi method, impeachment and terrorism: Accuracies of short-range forecasts for volatile world events

Two experiments examined the effects of iterated polling and feedback on prediction accuracy for volatile world events using the Delphi paradigm. In both experiments, participants predicted rapidly changing geopolitical events. The first experiment occurred during the litigation surrounding the Clinton/Lewinsky affair in 1998. Results indicated that feedback improved individual and group accuracy for predictions of whether an event would occur. These types of predictions derived from group consensus were approximately 90% accurate, which was significantly higher than the average individual participant's accuracy. Neither polling nor feedback had much effect on time course predictions. The second experiment occurred during the American military action against the Taliban regime in Afghanistan in 2001. In Experiment 2, participants were polled three times to determine if increasing the number of iterated polls would improve Delphi accuracy. The results showed that accuracy improved from the first to the second poll but not from the second to the third. The groups predicted whether these scenarios would occur with approximately 75% accuracy, which was significantly higher than the accuracy of any individual participant. Once again, the Delphi procedure did not enhance time course predictions in Experiment 2.     

The effect of management incentives and cross-listing status on the accounting treatment of R&D spending

This paper investigates the effect of management incentives and cross-listing status on the accounting treatment of research and development (R&D) spending for a sample of Canadian hi-tech and biopharmaceutical firms. U.S. GAAP adopts an immediate expensing rule for all R&D spending except for software development costs for which technological feasibility has been established. Contrary to the U.S., Canadian and international standard setters recommend capitalization if development costs meet certain criteria. Because those criteria are largely based on management judgment, capitalization of R&D spending is an accounting choice that can be used for income manipulation or signaling.Using a logit model, we examine how the decision to capitalize R&D spending is influenced by the cross-listing status and several other key firm characteristics that are well documented in the accounting literature. We find that the probability of capitalizing R&D spending increases for cross-listed and non-cross-listed firms in the software industry. The probability of capitalizing R&D spending also increases for firms that are more leveraged, more mature, and have higher level of cash flows from operations. However, the probability of capitalizing R&D spending decreases for larger corporations, firms with more concentrated ownership and highly profitable firms. Overall our results indicate a preference for Canadian firms in the software industry to emulate U.S. accounting practices for R&D spending. They also suggest that firms use the decision to capitalize or expense R&D spending as an earning management tool to either meet debt covenants or to smooth income.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.     

Comparing theories to explain e-commerce adoption

E-commerce is a strategy for rapid growth, especially by small and medium sized businesses (SMEs). However, the adoption rate of e-commerce by SMEs in Latin America is still undersized. The authors compare the theory of planned behavior (TPB) and the theory of reasoned action (TRA) using structural equation modeling to determine which is better at predicting e-commerce adoption intentions among 210 SME managers/owners in Chile. Contrary to previous research with American respondents, the study does not find significant differences between the two theories. Thus, academics should select the more parsimonious model (TRA) to study e-commerce adoption issues in developing countries.